| Hyperspectral vegetation indices and novel algorithms for predicting green LAI of crop canopies: Modeling and validation in the context of precision agriculture D Haboudane, JR Miller, E Pattey, PJ Zarco-Tejada, IB Strachan Remote sensing of environment 90 (3), 337-352, 2004 | 3005 | 2004 |
| Integrated narrow-band vegetation indices for prediction of crop chlorophyll content for application to precision agriculture D Haboudane, JR Miller, N Tremblay, PJ Zarco-Tejada, L Dextraze Remote sensing of environment 81 (2-3), 416-426, 2002 | 2346 | 2002 |
| PROSPECT+ SAIL models: A review of use for vegetation characterization S Jacquemoud, W Verhoef, F Baret, C Bacour, PJ Zarco-Tejada, ... Remote sensing of environment 113, S56-S66, 2009 | 1711 | 2009 |
| Thermal and narrowband multispectral remote sensing for vegetation monitoring from an unmanned aerial vehicle JAJ Berni, PJ Zarco-Tejada, L Suárez, E Fereres IEEE Transactions on geoscience and Remote Sensing 47 (3), 722-738, 2009 | 1673 | 2009 |
| Fluorescence, temperature and narrow-band indices acquired from a UAV platform for water stress detection using a micro-hyperspectral imager and a thermal camera PJ Zarco-Tejada, V González-Dugo, JAJ Berni Remote sensing of environment 117, 322-337, 2012 | 1079 | 2012 |
| Global and time-resolved monitoring of crop photosynthesis with chlorophyll fluorescence L Guanter, Y Zhang, M Jung, J Joiner, M Voigt, JA Berry, C Frankenberg, ... Proceedings of the National Academy of Sciences 111 (14), E1327-E1333, 2014 | 1057 | 2014 |
| Scaling-up and model inversion methods with narrowband optical indices for chlorophyll content estimation in closed forest canopies with hyperspectral data PJ Zarco-Tejada, JR Miller, TL Noland, GH Mohammed, PH Sampson IEEE Transactions on Geoscience and Remote Sensing 39 (7), 1491-1507, 2001 | 873 | 2001 |
| Assessing vineyard condition with hyperspectral indices: Leaf and canopy reflectance simulation in a row-structured discontinuous canopy PJ Zarco-Tejada, A Berjón, R Lopez-Lozano, JR Miller, P Martín, ... Remote Sensing of Environment 99 (3), 271-287, 2005 | 853 | 2005 |
| Retrieval of foliar information about plant pigment systems from high resolution spectroscopy SL Ustin, AA Gitelson, S Jacquemoud, M Schaepman, GP Asner, ... Remote Sensing of Environment 113, S67-S77, 2009 | 789 | 2009 |
| Tree height quantification using very high resolution imagery acquired from an unmanned aerial vehicle (UAV) and automatic 3D photo-reconstruction methods PJ Zarco-Tejada, R Diaz-Varela, V Angileri, P Loudjani European journal of agronomy 55, 89-99, 2014 | 696 | 2014 |
| Water content estimation in vegetation with MODIS reflectance data and model inversion methods PJ Zarco-Tejada, CA Rueda, SL Ustin Remote Sensing of Environment 85 (1), 109-124, 2003 | 691 | 2003 |
| Quantitative remote sensing at ultra-high resolution with UAV spectroscopy: a review of sensor technology, measurement procedures, and data correction workflows H Aasen, E Honkavaara, A Lucieer, PJ Zarco-Tejada Remote Sensing 10 (7), 1091, 2018 | 600 | 2018 |
| Remote sensing of solar-induced chlorophyll fluorescence (SIF) in vegetation: 50 years of progress GH Mohammed, R Colombo, EM Middleton, U Rascher, C van der Tol, ... Remote sensing of environment 231, 111177, 2019 | 599 | 2019 |
| High-resolution airborne hyperspectral and thermal imagery for early detection of Verticillium wilt of olive using fluorescence, temperature and narrow-band spectral indices R Calderón, JA Navas-Cortés, C Lucena, PJ Zarco-Tejada Remote Sensing of Environment 139, 231-245, 2013 | 552 | 2013 |
| Hyperspectral indices and model simulation for chlorophyll estimation in open-canopy tree crops PJ Zarco-Tejada, JR Miller, A Morales, A Berjón, J Agüera Remote sensing of environment 90 (4), 463-476, 2004 | 515 | 2004 |
| Mapping canopy conductance and CWSI in olive orchards using high resolution thermal remote sensing imagery JAJ Berni, PJ Zarco-Tejada, G Sepulcre-Cantó, E Fereres, F Villalobos Remote Sensing of Environment 113 (11), 2380-2388, 2009 | 504 | 2009 |
| Mapping crop water stress index in a ‘Pinot-noir’vineyard: comparing ground measurements with thermal remote sensing imagery from an unmanned aerial vehicle J Bellvert, PJ Zarco-Tejada, J Girona, E Fereres Precision agriculture 15, 361-376, 2014 | 447 | 2014 |
| Using high resolution UAV thermal imagery to assess the variability in the water status of five fruit tree species within a commercial orchard V Gonzalez-Dugo, P Zarco-Tejada, E Nicolás, PA Nortes, JJ Alarcón, ... Precision Agriculture 14, 660-678, 2013 | 416 | 2013 |
| Steady-state chlorophyll a fluorescence detection from canopy derivative reflectance and double-peak red-edge effects PJ Zarco-Tejada, JC Pushnik, S Dobrowski, SL Ustin Remote Sensing of Environment 84 (2), 283-294, 2003 | 404 | 2003 |
| Simple reflectance indices track heat and water stress-induced changes in steady-state chlorophyll fluorescence at the canopy scale SZ Dobrowski, JC Pushnik, PJ Zarco-Tejada, SL Ustin Remote sensing of environment 97 (3), 403-414, 2005 | 382 | 2005 |
John R. MillerYork UniversityZweryfikowany adres z yorku.ca